Concept of forming individualization of smart village methodology using AI cognitive processes

Abstract

The study examines the role of digital agriculture in rural transformation and optimization of agricultural production, especially in the context of Russia. The article discusses the application of advanced sensors for soil and fertility analysis, which helps in determining potential yields and effective fertilizer application. Digital agriculture is presented as a tool to improve efficiency and productivity in rural areas, contributing to their economic growth. In addition, the study emphasizes the importance of adequate use of data and modern technology in farming. The analyses presented are based on extensive use of statistical and mathematical methods using various Python software packages. The conclusions of the study emphasize the need to integrate digital technologies in agriculture for sustainable rural development.